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Model-based controlling of robots for in-plant transportation of cylinder-shaped objects by throwing and capturing

机译:基于模型控制机器人通过投掷和捕获来实现圆柱形物体的储层运输

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Factories are confronted with an immense stress of competition. Hence, their performance parameters, such as throughput rates or processing times, have to be continuously improved. Processes have to be designed providing a maximum of efficiency without suffering loss of flexibility especially in consideration of shortened product lifecycles and increasing product variants. In this context, also internal logistic processes, such as in-plant transportation of material, have to be considered by factory planners. In our research study, a new approach is investigated, which considers transportation of objects within production systems by means of automated throwing and capturing. This visionary approach basically aims at shortening times of transport, reduction of expensive conveying systems and improvement of flexibility in material flow. In the context of this research, a robot system has been implemented, which is capable of automatically throwing and capturing stably flying cylinder-shaped objects over a distance of three meters. Cylinder-shaped objects with varying masses and geometric dimensions have been chosen for investigation since these are widespread in mechanical engineering (e.g. axles, pins or bolts). Cylinders are accelerated in their axial direction by a throwing robot with a linear axis. A second robot captures them by means of a gripper. In order to have this done smoothly the movement of the gripper must be aligned to the position, orientation and velocity of the flying cylinder at the capturing point. For appropriate control of the robots, a model is introduced, which considers the aerodynamics of the thrown cylinder, in order to compute its pose and velocity along the trajectory versus time. Experimental results demonstrate that the position and velocity can be calculated with good accuracy. Due to imperfections, such as vibrations of the throwing robot, the orientation of the cylinder, however, can considerably deviate from the calculated value, which may lead to failure of capturing. Thus, the movement of the capturing robot has to be adapted in real-time in order to compensate these deviations. To detect these deviations, the system must be equipped with a sensor system. With this sensor system, the pose of the flying cylinder is measured approximately one meter before capturing. An algorithm has been developed, which enables an online prediction of its pose at capturing point based on the measured data thus allowing the robot to be guided to this pose timely.
机译:工厂面临着巨大的竞争压力。因此,它们的性能参数(例如吞吐率或处理时间)必须不断提高。必须设计的工艺提供最大的效率而不会损失灵活性,特别是考虑到缩短的产品生命周期和增加产品变体。在这种情况下,还必须通过工厂规划者考虑内部物流过程,例如植物材料的材料运输。在我们的研究研究中,调查了一种新的方法,通过自动投掷和捕获,考虑了生产系统内物体的运输。这种有远见的方法基本上旨在缩短运输时间,减少昂贵的输送系统和材料流动的灵活性。在本研究的背景下,已经实现了一种机器人系统,该机器人能够在三米的距离上自动抛出和捕获稳定的飞缸形物体。已经选择了具有不同质量和几何尺寸的圆柱形物体进行调查,因为这些在机械工程中普及(例如车轴,销或螺栓)。滚筒通过带有线性轴的投掷机器人在其轴向上加速。第二机器人通过夹具捕获它们。为了使该完成顺利地,夹持器的运动必须与飞行点处的飞缸的位置,取向和速度对齐。为了适当地控制机器人,引入了模型,该模型考虑了抛出圆筒的空气动力学,以便沿着轨迹与时间计算其姿势和速度。实验结果表明,位置和速度可以以良好的精度计算。由于诸如抛光机器人的振动的缺陷,然而,汽缸的取向可以显着地偏离计算值,这可能导致捕获的失败。因此,捕获机器人的运动必须实时适应,以便补偿这些偏差。为了检测这些偏差,系统必须配备传感器系统。利用该传感器系统,在捕获前约一米测量飞缸的姿势。已经开发了一种算法,其能够基于测量的数据在捕获点处能够在线预测,因此允许机器人及时被引导到这种姿势。

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